Run
9199669

Run 9199669

Task 1748 (Learning Curve) tic-tac-toe Uploaded 01-05-2018 by Christo Alexander
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Flow

weka.KStar(7)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(7)_B20
weka.KStar(7)_Ma

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9986 ± 0.0009
Per class
F measure
0.9641 ± 0.0161
Per class
Kappa
0.9198 ± 0.0362
KB relative information score
513.2413 ± 2.4533
Mean absolute error
0.2446 ± 0.012
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
['Oracle Corporation', '1.8.0_162', 'amd64', 'Linux', '4.13.0-38-generic']
Precision
0.9661 ± 0.0142
Per class
Predictive accuracy
0.9645 ± 0.0157
Prior entropy
0.9312
Recall
0.9645 ± 0.0157
Per class
Relative absolute error
0.54 ± 0.0256
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.2794 ± 0.0126
Root relative squared error
0.5871 ± 0.0257
SciMark benchmark
1843.9164
UserCPU time millis
1060
UserCPU time millis testing
1060